Sales Forecast for Aromatic Dwarf Coconut: A Case Study at Hutan Melintang, Perak
A Case Study at Hutan Melintang, Perak
Abstract
Aromatic Dwarf Coconut known as Compact Dwarf coconut with basic structure like a short stem, thick stem and wide leaflet. It is well known plant in Malaysia, especially in Hutan Melintang, Perak. There are some leaders still apply accounting techniques such as instinct and try and error assumption that tend to the get failure in prediction. Because of that, the company will loss and bankruptcy. Revenue’s Data of Aromatic Dwarf Coconut generated from Jabatan Pertanian Teluk Bharu, Hutan Melintang, Perak from the year 2015 to the year 2019 shows that the sales of Aromatic Dwarf Coconut increased every month and every year. This study used Secondary data to forecast the sale of Aromatic Dwarf Coconut using Artificial Neural Network (ANN) and Linear Algebra. Second objective is to compare these two methods which are gives the minimize error interpreted by Mean Square Error (MSE). As a result of MSE, the ANN method shows minimized error which is more accurate rather than the Linear Algebra method.
References
[2] Bona Patria Nasution and Arvin Agah, “Currency exchange rate forecasting with neural networks,” International Journal of Engineering and Technology (IJET), vol. 10, no. 3, 2000
[3] D. C. Park, M. A. El-Sharkawi, R. J. Marks II, L. E. Atlas, and M. J. Damborg, “Electric load
forecasting using an artificial neural network,” IEEE Transactions on Power Engineering, vol. 6, pp. 442-449, 1991.
[4] D. Specht, “A general regression neural network,” IEEE Transactions on Neural Networks, vol. 2, no. 6, pp. 568-576, 1991.
[5] G. Gianluigi, I. Prete, S. Miraglia, and I. De Mare, “Targeting direct marketing campaigns by neural networks,” Journal of Marketing Management, vol. 27, pp. 992-1006, 2011.
[6] G. Zhang, E. Patuwo, and M. Hu, “Forecasting with artificial neural networks: The state of the art,” International Journal of Forecasting, vol. 14, pp. 35-629, 1998.
[7] Isaac Kwasi Adu, Douglas Kwasi Boah, Vincent Tulasi, “Application of system of linear equations to traffic flow for a network of four one-way streets in Kumasi, Ghana,” International Journal of Contemporary Mathematical Sciences, vol. 9, 2014.
[8] Jeff Christensen, “A brief history of linear algebra,” Unpublished Final Project Math 2270.
University of Utah, United States, 2012.
[9] Lucas Davidson, “Application of linear algebra in economics: Input-Output and Inter-Industry Analysis”. Unpublished bachelor dissertation. University of North Texas, Denton, 2010
[10] P. Zhang, “Neural networks in business forecasting,” USA: Idea Group Inc., vol. 1, 2003
[11] Renan da Silva Lima and Jane Mara Block, “Coconut oil: what do we really know about it so far?,” Food Quality and Safety, vol. 3, pp. 61–72, 2019.
[12] S. Wardah, T. Djatna, Marimin and M. Yani, “New product development in coconut-based agro-industry: current research progress and challenges,” IOP Conf. Series: Earth and Environmental Science, 472012053, pp. 1-7, 2020.
[13] Then Kek Hoe, “The current scenario and development of the coconut industry”, The Planter, Kuala Lumpur: vol. 94, no. 1108, pp. 413-426, 2018.
[14] Timo Sorsa and Heikki N. Koivo, “Application of artificial neural networks in process fault diagnosis,” Automatica, vol. 29, no. 4, pp. 843-849, 1993.
[15] U. Patil and S. Benjakul, “Coconut milk and coconut oil: Their manufacture associated with protein functionality,” Journal of Food Science, Vol. 83, no. 8, pp. 2019-2027, 2018.
